Barclays Bank Plc (ATMP) Loans - Net (2009 - 2025)
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Analysis
Barclays Bank Plc (ATMP) Loans - Net (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.81 Bn |
| Jun 30, 2025 | 7.50 Bn |
| Dec 31, 2024 | 11.98 Bn |
| Jun 30, 2024 | 173.51 Bn |
| Dec 31, 2023 | 174.68 Bn |
| Jun 30, 2023 | 173.53 Bn |
| Dec 31, 2022 | 176.32 Bn |
| Dec 31, 2018 | 464.02 Bn |
| Dec 31, 2017 | 491.33 Bn |
| Sep 30, 2017 | 515.07 Bn |
| Jun 30, 2017 | 508.04 Bn |
| Mar 31, 2017 | 505.74 Bn |
| Dec 31, 2016 | 482.65 Bn |
| Sep 30, 2016 | 543.73 Bn |
| Jun 30, 2016 | 572.74 Bn |
| Mar 31, 2016 | 574.06 Bn |
| Dec 31, 2015 | 591.61 Bn |
| Sep 30, 2015 | 658.61 Bn |
| Jun 30, 2015 | 677.60 Bn |
| Mar 31, 2015 | 668.95 Bn |
API Access
Barclays Bank Plc Loans - Net API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=loans-net&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "ticker": "ATMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=loans-net&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();